Climate signal or surveillance artefact? Disentangling environmental and observation processes in Lyme borreliosis trends
· 2026-09-08 · 原文
DOI：10.64898/2026.09.06.26362392v1?rss=1
Climate change is increasingly invoked to explain long-term shifts in vector-borne disease, yet observed incidence reflects both ecological processes and the systems used to detect disease. Distinguishing environmental signals from changes in surveillance is therefore essential for attributing disease trends to global change. We used Lyme borreliosis in Poland as a national case study, analysing 259,003 notifications across 16 administrative regions from 2009 to 2024 (1,024 region-quarters). Multivariable negative binomial models estimated associations with lagged climatic conditions while accounting for temporal trend, a post-2016 structural step, COVID-19 healthcare disruption, seasonality and regional heterogeneity. Hospitalisation proportion provided an independent population-level ind
讲义
讲义·推断 依据「原文」自动生成的结构化摘要（推断），非原文表述；以原文为准。
1. 人话版
Climate change is increasingly invoked to explain long-term shifts in vector-borne disease, yet observed incidence reflects both ecological processes and the systems used to detect disease.
Distinguishing environmental signals from changes in surveillance is therefore essential for attributing disease trends to global change.
2. 领域脉络
来源板块：板块一 · 研究前沿。
3. 机制拆解
Hospitalisation proportion provided an independent population-level ind
4. 证据与数字
We used Lyme borreliosis in Poland as a national case study, analysing 259,003 notifications across 16 administrative regions from 2009 to 2024 (1,024 region-quarters).
Multivariable negative binomial models estimated associations with lagged climatic conditions while accounting for temporal trend, a post-2016 structural step, COVID-19 healthcare disruption, seasonality and regional heterogeneity.
5. 反例与边界
摘要未声明局限与反例——这是需要警惕的信号，精读时先问边界。
6. 跨领域连接与意外收获
思考本文机制能否迁移到你正在跟进的问题。
7. 可复用方法
把本文机制与你手头项目对照，找一个两周内能验证的最小实验。
8. 术语表
精读时把不熟的术语记入此处，作为下次回忆的锚点。